AI & RoboticsNews

Coralogix raises $200M on bet that someone needs to watch the AI agents

Coralogix, a Boston-headquartered software-monitoring startup founded in Israel, has raised $200 million in a new funding round, betting that the rise of AI agents will drive demand for a new generation of tools to monitor, troubleshoot, and manage increasingly autonomous software systems. The Series F financing comes just 11 months after Coralogix raised $115 million in a Series E round, a pace…
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AI & RoboticsNews

OpenAI launches new Codex tools for white-collar work

OpenAI is getting serious about courting enterprise users. On Tuesday, the AI lab released a new set of capabilities for Codex, meant to expand the agentic tool’s uses in the workplace. Together with the new tools, the company released an internal report on how Codex is…
AI & RoboticsNews

Rocket engine startup Impulse raises $500 million to hire people, not AI

Impulse Space, a startup founded by SpaceX engine guru Tom Mueller to build highly maneuverable spacecraft, announced a $500 million Series D this week that it will use to hire as many as 200 new employees. The round, led by 137 Ventures and BANNER VC, with participation from Founders Fund, Lux Capital, and Linse Capital, reflects investor interest in space and defense tech as the U.S. government…
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AI & RoboticsNews

The groupthink boom: what 3 top VCs really think about the AI frenzy

This week at TechCrunch’s StrictlyVC event in Athens – part of the Panathēnea festival taking place in the city – I sat down with Niko Bonatsos of Verdict Capital, Andreas Stavropoulos of Threshold Ventures, and Ben Blume of Atomico to ask about the current state of venture investing, the wave of mega-IPOs that SpaceX is about to kick off, and where they still see an ocean of…
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AI & RoboticsNews

This chip startup just raised $135M on a bet that AI’s biggest bottleneck isn’t compute — it’s memory

Every time you ask ChatGPT a question, your request triggers a data relay race. Information leaves memory, passes through a CPU for preprocessing, travels to a GPU for heavy computation, and then makes its way back – and that entire journey repeats for every single word the AI generates. The bottleneck is structural – it means routing through some of the most expensive and power-intensive…
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